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INTRODUCTION TO COMMUNICATION, CONTROL, AND SIGNAL PROCESSING

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This course examines indicators, methods and inference as unifying themes in communication, management and sign processing. Subjects embrace input-output and state-space fashions of linear methods pushed by deterministic and random indicators; time- and transform-domain representations in discrete and steady time; group delay; state suggestions and observers; probabilistic fashions; stochastic processes, correlation features, energy spectra, spectral factorization; least-mean sq. error estimation; Wiener filtering; speculation testing; detection; matched filters.


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